Built a real-time anomaly detection engine (TypeScript, MongoDB, MQTT, AWS) using custom ML algorithms to flag leaks across distributed sensor networks, detecting 30+ leaks and saving 250,000+ gallons of water.

Developed a GIS integration with ESRI's Tablet Command platform, displaying private water sources for California firefighters during active wildfire response.

Designed the full hardware warehouse process and built a Python-based tooling for IoT device onboarding, QR code generation, SIM registration, and lifecycle tracking across 500-1,000+ deployed units.

Currently leading the development of a next-generation integration platform powered by graph databases and AI to enable holistic water system monitoring and management.

Front-end development with React for a seamless user interface.

Back-end services with Django to manage complex data interactions with Machine Learning models.

AWS for secure, scalable database management and cloud services.

Innovate and implement features for a comprehensive search portal.

Integrate RESTful APIs for real-time data processing and display.

Deploy continuous integration/continuous deployment (CI/CD) for efficient workflow.

Full-Stack Development • React • Django • AWS • Database Management • Continuous Integration and Deployment • Version Control • RESTful APIs • Security and Privacy Compliance